Literature review articles are essential to summarise the related work in the selected field.
However, covering all related studies takes too much time and effort. This study questions …

Recent technological advances in the field of artificial intelligence hold promise in
addressing medical challenges in breast cancer care, such as early diagnosis, cancer …

Managing Elderly type 2 diabetes (E-T2D) is challenging due to geriatric conditions (eg, co-
morbidity, multiple drug intake, etc.), and personalization becomes paramount for precision …

Recent years have witnessed exponential growth in cardiac imaging technologies, allowing
better visualization of complex cardiac anatomy and improved assessment of physiology …

This article introduces a novel framework for diagnosing faults in rolling bearings. The
framework combines digital twin data, transfer learning theory, and an enhanced ConvNext …

Due to the high prevalence and rates of disability associated with musculoskeletal system
diseases, more thorough research into diagnosis, pathogenesis, and treatments is required …

Randomized clinical trials, while often viewed as the highest evidentiary bar by which to
judge the quality of a medical intervention, are far from perfect. In silico imaging trials are …

Objective To evaluate the performance of radiomic analysis on contrast-enhanced
mammography images to identify different histotypes of breast cancer mainly in order to …

Digital Twins have been adopted in different healthcare contexts and several work suggests,
beyond reporting specific applications, their exploitation to track and monitor resources and …

Abstract Background Knowledge graphs (KGs) remain an underutilized tool in the field of
psychiatric research. In the broader biomedical field KGs are already a significant tool …